Abstract
In this paper we discuss how agents can learn to do things by
imitating other agents. Especially we look at how the use of
different metrics and sub-goal granularity can affect the
imitation results. We use a computer model of a chess world as
a test-bed to also illustrate issues that arise when there is
dissimilar embodiment between the demonstrator and the
imitator agents.
imitating other agents. Especially we look at how the use of
different metrics and sub-goal granularity can affect the
imitation results. We use a computer model of a chess world as
a test-bed to also illustrate issues that arise when there is
dissimilar embodiment between the demonstrator and the
imitator agents.
| Original language | English |
|---|---|
| Title of host publication | AAAI Fall Symposium 2000 |
| Publisher | AAAI |
| Pages | 1-6 |
| Publication status | Published - 2000 |